AlexNet swMATH ID: 38522 Software Authors: Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton Description: AlexNet is a convolutional neural network that is 8 layers deep. You can load a pretrained version of the network trained on more than a million images from the ImageNet database [1]. The pretrained network can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. As a result, the network has learned rich feature representations for a wide range of images. The network has an image input size of 227-by-227. For more pretrained networks in MATLAB®, see Pretrained Deep Neural Networks. Homepage: https://de.mathworks.com/help/deeplearning/ref/alexnet.html Dependencies: Matlab Related Software: ImageNet; Adam; TensorFlow; CIFAR; darch; PyTorch; GitHub; U-Net; Keras; MNIST; Faster R-CNN; Caffe; AdaGrad; Scikit; DGM; word2vec; PRMLT; Tensor2Tensor; BERT; DiffSharp Cited in: 624 Documents all top 5 Cited by 1,933 Authors 6 Karniadakis, George Em 6 Kutyniok, Gitta 6 Petersen, Philipp Christian 6 Ruthotto, Lars 6 Ying, Lexing 5 Fan, Yuwei 5 Jentzen, Arnulf 5 Osher, Stanley Joel 5 Perdikaris, Paris G. 5 Voigtlaender, Felix 5 Xin, Jack X. 5 Yan, Zhenya 5 Yin, Penghang 4 Haber, Eldad 4 Zabaras, Nicholas J. 3 Baldi, Pierre 3 Bengio, Yoshua 3 Bölcskei, Helmut 3 Brunton, Steven L. 3 d’Ascoli, Stéphane 3 Dou, Dejing 3 E, Weinan 3 Fornasier, Massimo 3 Garikipati, Krishna 3 Gibou, Frédéric 3 Haghighat, Ehsan 3 Kutz, J. 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